US5712957A - Locating and correcting erroneously recognized portions of utterances by rescoring based on two n-best lists - Google Patents
Locating and correcting erroneously recognized portions of utterances by rescoring based on two n-best lists Download PDFInfo
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- US5712957A US5712957A US08/525,921 US52592195A US5712957A US 5712957 A US5712957 A US 5712957A US 52592195 A US52592195 A US 52592195A US 5712957 A US5712957 A US 5712957A
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
- G06F18/256—Fusion techniques of classification results, e.g. of results related to same input data of results relating to different input data, e.g. multimodal recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/226—Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics
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- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
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Abstract
Description
______________________________________ 1. can there it around the indian ocean (score 102) 2. send there it around the indian ocean (score 95) 3. center it around the indian ocean (score 93) 4. sent there around the indian ocean (score 80) 5. sent are around the indian ocean (score 73) ______________________________________
______________________________________ 1. can there! it around the indian ocean (score 102) 2. send there! it around the indian ocean (score 95) 3. center! it around the indian ocean (score 93) 4. sent there! around the indian ocean (score 80) 5. sent are! around the indian ocean (score 73) ______________________________________
______________________________________ 1. can there! (score 23) 2. send there! (score 20) 3. center! (score 19) 4. sent there! (score 17) 5. sent are! (score 14) ______________________________________
______________________________________ 1. sent are! (score 24) 2. center! (score 22) 3. sent there! (score 15) 4. send there! (score 11) 5. can there! (score 10) ______________________________________
______________________________________ can there! 23 + 10 = 33 send there! 20 + 11 = 31 center! 19 + 22 = 41 sent there! 17 + 15 = 32 sent are! 14 + 24 = 38 ______________________________________
______________________________________ center! 19 + 22 = 41 sent are! 14 + 24 = 38 can there! 23 + 10 = 33 sent there! 17 + 15 = 32 send there! 20 + 11 = 31 ______________________________________
______________________________________ center! it around the indian ocean ______________________________________
______________________________________ 1. C A N T H E R E! (Score 23) 2. S E N D T H E R E! (Score 20) 3. C E N T E R! (Score 19) 4. S E N T T H E R E! (Score 17) 5. S E N T A R E! (Score 14) ______________________________________
______________________________________ 1. C E N T E R! (Score 24) 2. S E N T A R E! (Score 22) 3. C A N T H E R E! (Score 17) 4. S E N T T H E R E! (Score 15) 5. S E N D T H E R E! (Score 11) ______________________________________
______________________________________ 1. can there it around the indian ocean (score 102) 2. send there it around the indian ocean (score 95) 3. center it around the indian ocean (score 93) 4. sent there around the indian ocean (score 80) 5. sent are around the indian ocean (score 73) ______________________________________
______________________________________ 1. is it near the indian ocean (score 1020) 2. send it near the indian ocean (score 950) 3. move the center to the indian ocean (score 930) 4 & 5. it was sent to the indian ocean (score 800) ______________________________________
______________________________________ 1. but the center in the indian ocean (score 150) 2. put the center in the indian ocean (score 148) 3. but the center is the indian ocean (score 130) 4. gut the center in the indian ocean (score 121) 5. put was sent where in the indian ocean (score 110) ______________________________________
______________________________________ 1. the center is in the indian ocean (score 1500) 2. move the center to the indian ocean (score 1480) 3. the indian ocean is the center (score 1300) 4. remove the contents of the center in (score 1210) the indian ocean 5. where in the indian ocean was it sent (score 1100) ______________________________________
______________________________________ 1. move the center to the indian ocean (score 2500) 2. the center is in the indian ocean (score 1500) 3. the indian ocean is the center (score 1300) 4. remove the contents of the center in (score 1210) the indian ocean 5. where in the indian ocean was it sent (score 1100) 6. is it near the indian ocean (score 1020) 7. it was sent to the indian ocean (score 800) ______________________________________
TABLE 1 ______________________________________ Recognition Accuracies Before RepairStatistic Experiment 1 Experiment 2 ______________________________________ Word Accuracy 93.1% 88.6% Sentence Accuracy 63.1% 46.7% Auto-Locate Success 83.3% 90.6% Correct in n-best 91.0% 83.7% ______________________________________
TABLE 2 ______________________________________ Repair Method Success Rates Repair Method Highlight Auto-Locate ______________________________________ Exp. 1: Speak 70.1% 64.6% Exp. 1: Spell 82.6% 70.8% Exp. 1: Speak + Spell 84.0% 73.6% Exp. 2: Speak 67.4% 62.7% ______________________________________
TABLE 3 ______________________________________ Improvement of Sentence Accuracy Repair Method Sentence Accuracy ______________________________________ None (baseline) 63.1% Speak 83.8% Spell 88.5% Speak + Spell 89.0% ______________________________________
Claims (14)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US08/525,921 US5712957A (en) | 1995-09-08 | 1995-09-08 | Locating and correcting erroneously recognized portions of utterances by rescoring based on two n-best lists |
US08/724,420 US5855000A (en) | 1995-09-08 | 1996-10-01 | Method and apparatus for correcting and repairing machine-transcribed input using independent or cross-modal secondary input |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US08/525,921 US5712957A (en) | 1995-09-08 | 1995-09-08 | Locating and correcting erroneously recognized portions of utterances by rescoring based on two n-best lists |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US08/724,420 Continuation-In-Part US5855000A (en) | 1995-09-08 | 1996-10-01 | Method and apparatus for correcting and repairing machine-transcribed input using independent or cross-modal secondary input |
Publications (1)
Publication Number | Publication Date |
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US5712957A true US5712957A (en) | 1998-01-27 |
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Application Number | Title | Priority Date | Filing Date |
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US08/525,921 Expired - Lifetime US5712957A (en) | 1995-09-08 | 1995-09-08 | Locating and correcting erroneously recognized portions of utterances by rescoring based on two n-best lists |
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US (1) | US5712957A (en) |
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